Unsupervised Deep Subgraph Anomaly Detection. - Zheng Zhang 047; Liang Zhao 002 (ICDM, 2022)

Unsupervised Deep Subgraph Anomaly Detection (Extended Abstract). - Zheng Zhang 047; Liang Zhao 002 (IJCAI, 2023)

Curriculum Learning for Graph Neural Networks: Which Edges Should We Learn First. - Zheng Zhang 047; Junxiang Wang; Liang Zhao 002 (NeurIPS, 2023)

Tutorials at The Web Conference 2023. - Valeria Fionda; Olaf Hartig; Reyhaneh Abdolazimi; Sihem Amer-Yahia; Hongzhi Chen; Xiao Chen 016; Peng Cui 001; Jeffrey Dalton 001; Xin Luna Dong; Lisette Espín-Noboa; Wenqi Fan; Manuela Fritz; et al. (WWW (Companion Volume), 2023)

Large Language Models for Spatial Trajectory Patterns Mining. - Zheng Zhang 047; Hossein Amiri; Zhenke Liu; Andreas Züfle; Liang Zhao 002 (CoRR, 2023)

Beyond Text: A Deep Dive into Large Language Models' Ability on Understanding Graph Data. - Yuntong Hu; Zheng Zhang 047; Liang Zhao 002 (CoRR, 2023)

Balancing Specialized and General Skills in LLMs: The Impact of Modern Tuning and Data Strategy. - Zheng Zhang 047; Chen Zheng; Da Tang; Ke Sun; Yukun Ma; Yingtong Bu; Xun Zhou 001; Liang Zhao 002 (CoRR, 2023)

Transferable Deep Clustering Model. - Zheng Zhang 047; Liang Zhao 002 (CoRR, 2023)

Distilling Large Language Models for Text-Attributed Graph Learning. - Bo Pan; Zheng Zhang 047; Yifei Zhang 006; Yuntong Hu; Liang Zhao 002 (CIKM, 2024)

Transferable Unsupervised Outlier Detection Framework for Human Semantic Trajectories. - Zheng Zhang 047; Hossein Amiri; Dazhou Yu; Yuntong Hu; Liang Zhao 002; Andreas Züfle (SIGSPATIAL/GIS, 2024)

Representation Learning of Geometric Trees. - Zheng Zhang 047; Allen Zhang 005; Ruth Nelson; Giorgio A. Ascoli; Liang Zhao 002 (KDD, 2024)

TEG-DB: A Comprehensive Dataset and Benchmark of Textual-Edge Graphs. - Zhuofeng Li; Zixing Gou; Xiangnan Zhang; Zhongyuan Liu; Sirui Li; Yuntong Hu; Chen Ling 003; Zheng Zhang 047; Liang Zhao 002 (NeurIPS, 2024)

Self-Similar Graph Neural Network for Hierarchical Graph Learning. - Zheng Zhang 047; Liang Zhao 002 (SDM, 2024)

Non-Euclidean Spatial Graph Neural Network. - Zheng Zhang 047; Sirui Li; Jingcheng Zhou; Junxiang Wang; Abhinav Angirekula; Allen Zhang 005; Liang Zhao 002 (SDM, 2024)

Position-Aware Parameter Efficient Fine-Tuning Approach for Reducing Positional Bias in LLMs. - Zheng Zhang 047; Fan Yang; Ziyan Jiang; Zheng Chen 010; Zhengyang Zhao; Chengyuan Ma; Liang Zhao 002; Yang Liu (CoRR, 2024)

Link Prediction on Textual Edge Graphs. - Chen Ling 003; Zhuofeng Li; Yuntong Hu; Zheng Zhang 047; Zhongyuan Liu; Shuang Zheng; Liang Zhao 002 (CoRR, 2024)

TAGA: Text-Attributed Graph Self-Supervised Learning by Synergizing Graph and Text Mutual Transformations. - Zheng Zhang 047; Yuntong Hu; Bo Pan; Chen Ling 003; Liang Zhao 002 (CoRR, 2024)

HiReview: Hierarchical Taxonomy-Driven Automatic Literature Review Generation. - Yuntong Hu; Zhuofeng Li; Zheng Zhang 047; Chen Ling 003; Raasikh Kanjiani; Boxin Zhao; Liang Zhao 002 (CoRR, 2024)

TAGExplainer: Narrating Graph Explanations for Text-Attributed Graph Learning Models. - Bo Pan; Zhen Xiong; Guanchen Wu; Zheng Zhang 047; Yifei Zhang 006; Liang Zhao 002 (CoRR, 2024)

GraphNarrator: Generating Textual Explanations for Graph Neural Networks. - Bo Pan; Zhen Xiong; Guanchen Wu; Zheng Zhang 047; Yifei Zhang 006; Yuntong Hu; Liang Zhao 002 (ACL (1), 2025)

GRAG: Graph Retrieval-Augmented Generation. - Yuntong Hu; Zhihan Lei; Zheng Zhang 047; Bo Pan; Chen Ling 003; Liang Zhao 002 (NAACL (Findings), 2025)

CG-RAG: Research Question Answering by Citation Graph Retrieval-Augmented LLMs. - Yuntong Hu; Zhihan Lei; Zhongjie Dai; Allen Zhang 005; Abhinav Angirekula; Zheng Zhang 047; Liang Zhao 002 (SIGIR, 2025)